By placing a strong emphasis on data governance and embracing digital workflows, mining companies can navigate the complexities of their operations more effectively. Challenge #3: Finding fit-for ...

However, data mining also comes with its set of limitations, such as concerns over privacy and data quality. Despite these challenges, when used responsibly and with high-quality data, data mining ...

and advanced data analytics. Among AI’s most promising applications in mining is improving productivity—a key focus as mining operations face challenges like mineral scarcity, increasing ...

Foundational work on agent-based approaches to information mining has contributed to overcoming challenges associated with data heterogeneity and scale, ultimately improving decision-making ...

In the worst-case scenario, an OT hack can endanger the health and safety of mineworkers. Furthermore, OT systems generate huge amounts of historical mining data which, if leaked, can reveal sensitive ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with ... the long-standing challenge of finding ...